{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2ec1b142",
   "metadata": {},
   "source": [
    "$高中体测数据可视化$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "11e36b6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "199398ee",
   "metadata": {},
   "source": [
    "### 男生数据：男1000米跑、男引体"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "468c3a96",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>男1000米跑</th>\n",
       "      <th>男1000米跑分数</th>\n",
       "      <th>男50米跑</th>\n",
       "      <th>男50米跑分数</th>\n",
       "      <th>男跳远</th>\n",
       "      <th>男跳远分数</th>\n",
       "      <th>男体前屈</th>\n",
       "      <th>男体前屈分数</th>\n",
       "      <th>男引体</th>\n",
       "      <th>男引体分数</th>\n",
       "      <th>男肺活量</th>\n",
       "      <th>男肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.13</td>\n",
       "      <td>72</td>\n",
       "      <td>8.88</td>\n",
       "      <td>66</td>\n",
       "      <td>195</td>\n",
       "      <td>60</td>\n",
       "      <td>12</td>\n",
       "      <td>74</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>2785</td>\n",
       "      <td>62</td>\n",
       "      <td>170</td>\n",
       "      <td>72.599998</td>\n",
       "      <td>25.120001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.16</td>\n",
       "      <td>70</td>\n",
       "      <td>7.70</td>\n",
       "      <td>78</td>\n",
       "      <td>225</td>\n",
       "      <td>74</td>\n",
       "      <td>11</td>\n",
       "      <td>74</td>\n",
       "      <td>7</td>\n",
       "      <td>60</td>\n",
       "      <td>3133</td>\n",
       "      <td>68</td>\n",
       "      <td>174</td>\n",
       "      <td>52.700001</td>\n",
       "      <td>17.410000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>男</td>\n",
       "      <td>4.09</td>\n",
       "      <td>74</td>\n",
       "      <td>8.45</td>\n",
       "      <td>70</td>\n",
       "      <td>218</td>\n",
       "      <td>70</td>\n",
       "      <td>14</td>\n",
       "      <td>78</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3901</td>\n",
       "      <td>80</td>\n",
       "      <td>169</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>16.280001</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  男1000米跑  男1000米跑分数  男50米跑  男50米跑分数  男跳远  男跳远分数  男体前屈  男体前屈分数  男引体  \\\n",
       "0   1  男     4.13         72   8.88       66  195     60    12      74    1   \n",
       "1   1  男     4.16         70   7.70       78  225     74    11      74    7   \n",
       "2   1  男     4.09         74   8.45       70  218     70    14      78    1   \n",
       "\n",
       "   男引体分数  男肺活量  男肺活量分数   身高         体重        BMI  \n",
       "0      0  2785      62  170  72.599998  25.120001  \n",
       "1     60  3133      68  174  52.700001  17.410000  \n",
       "2      0  3901      80  169  46.500000  16.280001  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boy = pd.read_excel('./体测分数_男生.xls')\n",
    "boy.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "25d4b7f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "及格     380\n",
       "需努力     68\n",
       "较差      29\n",
       "Name: 男1000米跑分数, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boy1 = pd.cut(boy['男1000米跑分数'],bins=3,labels=['较差','需努力','及格']).value_counts()\n",
    "boy1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "06dcf7d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,6))\n",
    "plt.rcParams['font.family']='Kaiti'\n",
    "plt.rcParams['font.size']=18\n",
    "_ = plt.pie(boy1,autopct='%0.2f%%',labels=boy1.index)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ca4bece8",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "及格     219\n",
       "需努力    137\n",
       "较差     121\n",
       "Name: 男引体分数, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boy2 = pd.cut(boy['男引体分数'],bins=3,labels=['较差','需努力','及格']).value_counts()\n",
    "boy2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "3dcbe702",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9,6))\n",
    "_ = plt.pie(boy2,autopct='%0.2f%%',labels=boy2.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc541b59",
   "metadata": {},
   "source": [
    "### 女生数据：女800米跑、女跳远"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "439296cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>班级</th>\n",
       "      <th>性别</th>\n",
       "      <th>女800米跑</th>\n",
       "      <th>女800米跑分数</th>\n",
       "      <th>女50米跑</th>\n",
       "      <th>女50米跑分数</th>\n",
       "      <th>女跳远</th>\n",
       "      <th>女跳远分数</th>\n",
       "      <th>女体前屈</th>\n",
       "      <th>女体前屈分数</th>\n",
       "      <th>女仰卧</th>\n",
       "      <th>女仰卧分数</th>\n",
       "      <th>女肺活量</th>\n",
       "      <th>女肺活量分数</th>\n",
       "      <th>身高</th>\n",
       "      <th>体重</th>\n",
       "      <th>BMI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.22</td>\n",
       "      <td>100</td>\n",
       "      <td>9.32</td>\n",
       "      <td>72</td>\n",
       "      <td>185</td>\n",
       "      <td>85</td>\n",
       "      <td>16</td>\n",
       "      <td>76</td>\n",
       "      <td>48</td>\n",
       "      <td>85</td>\n",
       "      <td>3775</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>51.299999</td>\n",
       "      <td>19.309999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>4.59</td>\n",
       "      <td>40</td>\n",
       "      <td>11.44</td>\n",
       "      <td>10</td>\n",
       "      <td>148</td>\n",
       "      <td>60</td>\n",
       "      <td>9</td>\n",
       "      <td>66</td>\n",
       "      <td>29</td>\n",
       "      <td>66</td>\n",
       "      <td>3683</td>\n",
       "      <td>100</td>\n",
       "      <td>163.0</td>\n",
       "      <td>66.599998</td>\n",
       "      <td>25.070000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>女</td>\n",
       "      <td>3.46</td>\n",
       "      <td>80</td>\n",
       "      <td>13.40</td>\n",
       "      <td>0</td>\n",
       "      <td>150</td>\n",
       "      <td>60</td>\n",
       "      <td>7</td>\n",
       "      <td>64</td>\n",
       "      <td>40</td>\n",
       "      <td>76</td>\n",
       "      <td>3331</td>\n",
       "      <td>100</td>\n",
       "      <td>157.0</td>\n",
       "      <td>60.000000</td>\n",
       "      <td>24.340000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   班级 性别  女800米跑  女800米跑分数  女50米跑  女50米跑分数  女跳远  女跳远分数  女体前屈  女体前屈分数  女仰卧  \\\n",
       "0   1  女    3.22       100   9.32       72  185     85    16      76   48   \n",
       "1   1  女    4.59        40  11.44       10  148     60     9      66   29   \n",
       "2   1  女    3.46        80  13.40        0  150     60     7      64   40   \n",
       "\n",
       "   女仰卧分数  女肺活量  女肺活量分数     身高         体重        BMI  \n",
       "0     85  3775     100  163.0  51.299999  19.309999  \n",
       "1     66  3683     100  163.0  66.599998  25.070000  \n",
       "2     76  3331     100  157.0  60.000000  24.340000  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "girl = pd.read_excel('./体测分数_女生.xls')\n",
    "girl.head(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "d445da46",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts,bins,fig = plt.hist(girl['女800米跑分数'],bins=4)\n",
    "plt.box(False)\n",
    "plt.ylabel('人数')\n",
    "_ = plt.xlabel('分数区间')\n",
    "_ = plt.xticks((0,25,50,75,100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5c552a48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "counts,bins,fig = plt.hist(girl['女跳远分数'],bins=4)\n",
    "plt.box(False)\n",
    "plt.ylabel('人数')\n",
    "_ = plt.xlabel('分数区间')\n",
    "_ = plt.xticks((0,25,50,75,100))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5d622e29",
   "metadata": {},
   "source": [
    "### 男女BMI值的比例统计"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "id": "4f189aeb",
   "metadata": {},
   "outputs": [],
   "source": [
    "#思路：确定男生中的BMI对应的标准\n",
    "def convert(x):\n",
    "    if 16.5<=x<=23.2:\n",
    "        return '正常'\n",
    "    elif x<=16.4:\n",
    "        return '低体重'\n",
    "    elif 23.3<=x<=26.3:\n",
    "        return '超重'\n",
    "    else:\n",
    "        return '肥胖'\n",
    "    \n",
    "boy['BMI标准']=boy['BMI'].map(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "id": "ecf8e89d",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert(x):\n",
    "    if 16.5<=x<=22.7:\n",
    "        return '正常'\n",
    "    elif x<=16.4:\n",
    "        return '低体重'\n",
    "    elif 22.8<=x<=25.2:\n",
    "        return '超重'\n",
    "    else:\n",
    "        return '肥胖'\n",
    "    \n",
    "girl['BMI标准']=girl['BMI'].map(convert)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "id": "d77b1932",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "正常     438\n",
       "超重      74\n",
       "肥胖      66\n",
       "低体重     15\n",
       "Name: BMI标准, dtype: int64"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "boy_data = boy['BMI标准'].value_counts()\n",
    "girl_data = girl['BMI标准'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "id": "88ae9420",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,9))\n",
    "a = plt.pie(boy_data,autopct='%0.2f%%',labels=boy_data.index,\n",
    "           radius=1,wedgeprops={'width':0.4},pctdistance=0.8,labeldistance=1.1,textprops={'fontsize':18})\n",
    "b=plt.pie(girl_data,radius=0.6,autopct='%0.2f%%',labels=girl_data.index,labeldistance=0.8,\n",
    "         wedgeprops={'edgecolor':'white','linewidth':2},textprops={'fontsize':12})\n",
    "_ = plt.title('   男女BMI体重指数比例统计对比  ',fontsize = 25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3f282423",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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